dhis2-chap/chap-core
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
API integrationJSON handlingPandasPythondata analysisdata processing
Andre gregussen
PROFILE
Andre Gregussen
During October 2025, Andre Gregussen developed and restructured dengue forecasting features in the dhis2-chap/chap-core repository. He implemented a data integration and evaluation pipeline that loads dengue data, transforms JSON into Pandas DataFrames, and aligns datasets with forecasting models. Andre introduced new forecast accuracy metrics and visualization capabilities, enabling analysis across time and location. He also refactored the codebase, removing legacy files and clarifying the data-to-model pipeline to support scalable forecasting and faster iteration. His work leveraged Python, Pandas, and data visualization techniques, demonstrating depth in data processing and metric development while improving the maintainability and focus of the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
417,629
Activity Months1
Your Network
26 peopleShared Repositories
26
Abyot Asalefew GizawMember
Andreas JensenMember
AndreGreguMember
audunMember
BumpVersion ActionMember
kanduricMember
Eirik HaugstulenMember
geirksaMember
HalvardgithubMember
Work History
October 2025
3 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on key features delivered, major fixes, impact, and skills demonstrated. Highlights include the Dengue Forecast Data Integration and Evaluation feature and Codebase Restructuring for Dengue Forecasting, with new forecast metrics and a streamlined project structure that supports scalable forecasting and visualization.
3 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on key features delivered, major fixes, impact, and skills demonstrated. Highlights include the Dengue Forecast Data Integration and Evaluation feature and Codebase Restructuring for Dengue Forecasting, with new forecast metrics and a streamlined project structure that supports scalable forecasting and visualization.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationJSON handlingPandasPythondata analysisdata processingdata visualizationforecastingmetric developmentpandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline